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Reconstructing the temporal dynamics of snow cover from observations
Author(s) -
Perona Paolo,
D'Odorico Paolo,
Porporato Amilcare,
Ridolfi Luca
Publication year - 2001
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2000gl006126
Subject(s) - snow , snow cover , trajectory , nonlinear system , climatology , differential equation , meteorology , environmental science , atmospheric sciences , series (stratigraphy) , cover (algebra) , geology , mathematics , mathematical analysis , physics , mechanical engineering , engineering , paleontology , quantum mechanics , astronomy
A nonlinear differential equation for the description of the mean annual behavior of snow depth at a point is reconstructed from measured time series of temperature, snow fall, and snow cover, using the so‐called Trajectory Method proposed by Eisenhammer et al. [1991]. The temperature and snow fall are used as independent variables of a polynomial equation with nonlinearities up to the third degree. The reconstructed model not only reproduces the original data very well, but also captures the main behavior of the system when forced by different climatic conditions.